Artificial Intelligence Assisted Bone Age Assessment

Comparison of the Difference in Bone Age Readings Among Radiologists Using Artificial Intelligence

AI-Assisted Bone Age Assessment

Artificial intelligence (AI) has gained great advancement in the application in clinical practice. However, this might introduce the automation bias, that the clinician over-rely on the incorrect advise from AI. The automation bias could have a great impact on the clinical decisions in an AI era. However, efforts to mitigate the automation bias tend to focus on upgrading AI performance and reducing bias in algorithms, which neglect the role of users. The aim of this study is to investigates the impact of the automation bias on the bone age assessment among radiologists with different seniority.

Inclusion Criteria:

• Exams read by radiologists who interpret pediatric skeletal age exams and verbally consent to participate

Exclusion Criteria:

• Exams containing more than one radiograph will not be included. No further exclusion criteria will be applied on the basis of image quality metrics or manufacturers